Network-wise concordance of multimodal neuroimaging features across the Alzheimer's disease continuum.

Alzheimer's disease atrophy biomarkers concordance concordance of atrophy and hypometabolism fluorodeoxyglucose positron emission tomography hypometabolism magnetic resonance imaging magnetic resonance imaging and fluorodeoxyglucose positron emission tomography concordance multimodal neuroimaging structure–function relationships suspected non‐Alzheimer's disease pathologic change

Journal

Alzheimer's & dementia (Amsterdam, Netherlands)
ISSN: 2352-8729
Titre abrégé: Alzheimers Dement (Amst)
Pays: United States
ID NLM: 101654604

Informations de publication

Date de publication:
2022
Historique:
received: 29 12 2021
revised: 17 02 2022
accepted: 25 02 2022
entrez: 2 5 2022
pubmed: 3 5 2022
medline: 3 5 2022
Statut: epublish

Résumé

Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker-defined amyloid/tau/neurodegeneration (A/T/N) groups. We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non-AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed. Network-wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD-continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD-continuum subjects. Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure-function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD.

Sections du résumé

Background UNASSIGNED
Concordance between cortical atrophy and cortical glucose hypometabolism within distributed brain networks was evaluated among cerebrospinal fluid (CSF) biomarker-defined amyloid/tau/neurodegeneration (A/T/N) groups.
Method UNASSIGNED
We computed correlations between cortical thickness and fluorodeoxyglucose metabolism within 12 functional brain networks. Differences among A/T/N groups (biomarker normal [BN], Alzheimer's disease [AD] continuum, suspected non-AD pathologic change [SNAP]) in network concordance and relationships to longitudinal change in cognition were assessed.
Results UNASSIGNED
Network-wise markers of concordance distinguish SNAP subjects from BN subjects within the posterior multimodal and language networks. AD-continuum subjects showed increased concordance in 9/12 networks assessed compared to BN subjects, as well as widespread atrophy and hypometabolism. Baseline network concordance was associated with longitudinal change in a composite memory variable in both SNAP and AD-continuum subjects.
Conclusions UNASSIGNED
Our novel study investigates the interrelationships between atrophy and hypometabolism across brain networks in A/T/N groups, helping disentangle the structure-function relationships that contribute to both clinical outcomes and diagnostic uncertainty in AD.

Identifiants

pubmed: 35496375
doi: 10.1002/dad2.12304
pii: DAD212304
pmc: PMC9043119
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12304

Informations de copyright

© 2022 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals, LLC on behalf of Alzheimer's Association.

Déclaration de conflit d'intérêts

The authors declare no conflicts of interest.

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Auteurs

Jane Stocks (J)

Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.

Karteek Popuri (K)

School of Engineering Science Simon Fraser University Burnaby British Columbia Canada.

Ashley Heywood (A)

Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.

Duygu Tosun (D)

School of Medicine University of California San Francisco, California USA.

Kate Alpert (K)

Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.

Mirza Faisal Beg (MF)

School of Engineering Science Simon Fraser University Burnaby British Columbia Canada.

Howard Rosen (H)

School of Medicine University of California San Francisco, California USA.

Lei Wang (L)

Department of Psychiatry and Behavioral Sciences Feinberg School of Medicine Northwestern University Chicago Illinois USA.
Department of Psychiatry and Behavioral Health Ohio State University Wexner Medical Center Columbus Ohio USA.

Classifications MeSH